The last group tries to automate the quality assessment of posts and provide solutions on how to prevent low-quality posts from being published on CQA platforms.
They use content-related properties of posts such as having code snippets, readability, and their community-related properties (e.g. reputation) to predict posts that need more review and edit before being published.
The goal is to help administrators validate the tremendous number of posts more effectively [1]}.
Several studies also focused on investigating effects of different policies (such as badge policies) on the quality of posts [2]}, [3]}.
